package com.zfj.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.zfj.common.to.es.SkuEsModel;
import com.zfj.gulimall.search.config.ElasticSearchConfig;
import com.zfj.gulimall.search.constant.EsConstant;
import com.zfj.gulimall.search.service.MallSearchService;
import com.zfj.gulimall.search.vo.SearchParam;
import com.zfj.gulimall.search.vo.SearchResult;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @author zfj
 * @date 2022/8/8 -11:41
 */
@Service
public class MallSearchServiceImpl implements MallSearchService {

	@Autowired
	private RestHighLevelClient client;
	/**
	 * 检索的所有参数
	 *
	 * @param param
	 * @return 返回检索的结果
	 */
	@Override
	public SearchResult search(SearchParam param) {
		//动态构建查询需要的dsl语句
		SearchResult result=null;
		//SearchResult searchResult=buildSearchRequest();
		//准备检索请求
		SearchRequest searchRequest=buildSearchRequest(param);

		try {
			//执行检索请求
			SearchResponse response=client.search(searchRequest,ElasticSearchConfig.COMMON_OPTIONS);
			//分析响应数据封装成我们需要的格式
			result=buildSearchResult(response,param);
		} catch (IOException e) {
			e.printStackTrace();
		}
		return result;
	}


	/**
	 * 准备检索
	 * @return
	 */
	private SearchRequest buildSearchRequest(SearchParam param) {
		//构建dsl语句
		SearchSourceBuilder sourceBuilder=new SearchSourceBuilder();
		/**
		 * 查询：过滤（按照属性，分类，品牌，价格区间，库存）
		 */
		//1、构建bool - query
		BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
		//1.1、must-模糊匹配，
		if (!StringUtils.isEmpty(param.getKeyword())) {
			boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
		}
		//1.2、bool - filter - 按照三级分类id查询
		if (param.getCatalog3Id() != null) {
			boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
		}
		//1.2、bool - filter - 按照品牌id查询
		if (param.getBrandId() != null && param.getBrandId().size() > 0) {
			boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
		}
		//1.2、bool - filter - 按照所有指定的属性进行查询
		if (param.getAttrs() != null && param.getAttrs().size() > 0) {
			for (String attrStr : param.getAttrs()) {
				//attrs=1_5寸:8寸&attrs=2_16G:8G
				//嵌入式的boolean查询
				BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
				//attr = 1_5寸:8寸
				String[] s = attrStr.split("_");
				String attrId = s[0]; //检索的属性id
				String[] attrValues = s[1].split(":"); //这个属性的检索用的值
				nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
				nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
				//每一个必须都得生成一个nested查询
				NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
				boolQuery.filter(nestedQuery);
			}

		}

		//1.2、bool - filter - 按照库存是否有进行查询
		if(param.getHasStock() != null){
			boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
		}


		//1.2、bool - filter - 按照价格区间
		if (!StringUtils.isEmpty(param.getSkuPrice())) {
			//1_500/_500/500_
			/**
			 * "range": {
			 *             "skuPrice": {
			 *               "gte": 0,
			 *               "lte": 6000
			 *             }
			 *           }
			 */
			RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");

//			String a="aa_bb";
//			String [] b=a.split("_");
			String[] s = param.getSkuPrice().split("_");
			if (s.length == 2) {
				//区间
				rangeQuery.gte(s[0]).lte(s[1]);
			} else if (s.length == 1) {
				if (param.getSkuPrice().startsWith("_")) {
					rangeQuery.lte(s[0]);
				}

				if (param.getSkuPrice().endsWith("_")) {
					rangeQuery.gte(s[0]);
				}
			}

			boolQuery.filter(rangeQuery);
		}

		//把以前的所有条件都拿来进行封装
		sourceBuilder.query(boolQuery);


		/**
		 * 排序，分页，高亮，
		 */

		//2.1、排序
		if (!StringUtils.isEmpty(param.getSort())) {
			String sort = param.getSort();
			//sort=hotScore_asc/desc
			String[] s = sort.split("_");
			SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
			sourceBuilder.sort(s[0], order);
		}
		//2.2、分页  pageSize:5
		//  pageNum:1  from:0  size:5  [0,1,2,3,4]
		// pageNum:2  from:5   size:5
		//from = (pageNum-1)*size
		sourceBuilder.from(((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE));
		sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

		//2.3、高亮
		if (!StringUtils.isEmpty(param.getKeyword())) {
			HighlightBuilder builder = new HighlightBuilder();
			builder.field("skuTitle");
			builder.preTags("<b style='color:red'>");
			builder.postTags("</b>");
			sourceBuilder.highlighter(builder);
		}


		/**
		 * 聚合分析
		 */
		//1、品牌聚合
		TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
		brand_agg.field("brandId").size(50);
		//品牌聚合的子聚合
		brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
		brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
		//TODO 1、聚合brand
		sourceBuilder.aggregation(brand_agg);
		//2、分类聚合 catalog_agg
		TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
		catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
		//TODO 2、聚合catalog
		sourceBuilder.aggregation(catalog_agg);
		//3、属性聚合 attr_agg
		NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");

		//聚合出当前所有的attrId
		TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
		//聚合分析出当前attr_id对应的名字
		attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
		//聚合分析出当前attr_id对应的所有可能的属性值attrValue
		attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
		attr_agg.subAggregation(attr_id_agg);
		//TODO 3、聚合attr
		sourceBuilder.aggregation(attr_agg);

		String s = sourceBuilder.toString();
		System.out.println("构建的DSL" + s);
		SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
		return searchRequest;
	}

	/**
	 * 构建结果数据
	 *
	 * @param response
	 *
	 * @return
	 */
	private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {

		SearchResult result = new SearchResult();
		//1、返回的所有查询到的商品
		SearchHits hits = response.getHits();
		List<SkuEsModel> esModels = new ArrayList<>();
		if (hits.getHits() != null && hits.getHits().length > 0) {
			for (SearchHit hit : hits.getHits()) {
				String sourceAsString = hit.getSourceAsString();
				SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
				if(!StringUtils.isEmpty(param.getKeyword())){
					HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
					String string = skuTitle.getFragments()[0].string();
					esModel.setSkuTitle(string);
				}
				esModels.add(esModel);
			}
			;
		}
		result.setProducts(esModels);



//        //2、当前所有商品涉及到的所有属性信息
		List<SearchResult.AttrVo> attrVos = new ArrayList<>();
		ParsedNested attr_agg = response.getAggregations().get("attr_agg");
		ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
		for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
			SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
			//1、得到属性的id
			long attrId = bucket.getKeyAsNumber().longValue();
			//2、得到属性的名字
			String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();

			//3、得到属性的所有值
			List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
				String keyAsString = ((Terms.Bucket) item).getKeyAsString();
				return keyAsString;
			}).collect(Collectors.toList());

			attrVo.setAttrId(attrId);
			attrVo.setAttrName(attrName);
			attrVo.setAttrValue(attrValues);



			attrVos.add(attrVo);
		}


		result.setAttrs(attrVos);
//        //3、当前所有商品涉及到的所有品牌信息
		List<SearchResult.BrandVo> brandVos = new ArrayList<>();
		ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
		for (Terms.Bucket bucket : brand_agg.getBuckets()) {
			SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
			//1、得到品牌的id
			long brandId = bucket.getKeyAsNumber().longValue();
			//2、得到品牌的名
			String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
			//3、得到品牌的图片
			String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
			brandVo.setBrandId(brandId);
			brandVo.setBrandName(brandName);
			brandVo.setBrandImg(brandImg);
			brandVos.add(brandVo);
		}

		result.setBrands(brandVos);
//        //4、当前所有商品涉及到的所有分类信息
		ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
		List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
		List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
		for (Terms.Bucket bucket : buckets) {
			SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
			//得到分类id
			String keyAsString = bucket.getKeyAsString();
			catalogVo.setCatalogId(Long.parseLong(keyAsString));

			//得到分类名
			ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
			String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
			catalogVo.setCatalogName(catalog_name);
			catalogVos.add(catalogVo);
		}
		result.setCatalogs(catalogVos);
//        ========以上从聚合信息中获取======


//        //5、分页信息-页码
		result.setPageNum(param.getPageNum());
//        //5、分页信息-总记录树
		long total = hits.getTotalHits().value;
		result.setTotal(total);
//        //5、分页信息-总页码-计算  11/2 = 5 .. 1
		int totalPages = (int) total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : ((int) total / EsConstant.PRODUCT_PAGESIZE + 1);
		result.setTotalPages(totalPages);


		List<Integer> pageNavs = new ArrayList<>();
		for (int i=1;i<=totalPages;i++){
			pageNavs.add(i);
		}
		result.setPageNavs(pageNavs);

		//yesy
//		//6、构建面包屑导航功能
//		if(param.getAttrs()!=null && param.getAttrs().size()>0){
//			List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
//				//1、分析每个attrs传过来的查询参数值。
//				SearchResult.NavVo navVo = new SearchResult.NavVo();
////            attrs=2_5存:6寸
//				String[] s = attr.split("_");
//				navVo.setNavValue(s[1]);
//				R r = productFeignService.attrInfo(Long.parseLong(s[0]));
//				result.getAttrIds().add(Long.parseLong(s[0]));
//				if(r.getCode() == 0){
//					AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
//					});
//					navVo.setNavName( data.getAttrName());
//				}else{
//					navVo.setNavName(s[0]);
//				}
////
//				//2、取消了这个面包屑以后，我们要跳转到那个地方.将请求地址的url里面的当前置空
//				//拿到所有的查询条件，去掉当前。
//				//attrs=  15_海思（Hisilicon）
//				String replace = replaceQueryString(param, attr,"attrs");
//				navVo.setLink("http://search.gulimall.com/list.html?"+replace);
//
//				return navVo;
//			}).collect(Collectors.toList());
//
//
//
//			result.setNavs(collect);
//		}
//
//		//品牌，分类
//		if(param.getBrandId()!=null && param.getBrandId().size()>0){
//			List<SearchResult.NavVo> navs = result.getNavs();
//			SearchResult.NavVo navVo = new SearchResult.NavVo();
//
//			navVo.setNavName("品牌");
//			//TODO 远程查询所有品牌
//			R r = productFeignService.brandsInfo(param.getBrandId());
//			if(r.getCode() == 0){
//				List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
//				});
//				StringBuffer buffer = new StringBuffer();
//				String replace = "";
//				for (BrandVo brandVo : brand) {
//					buffer.append(brandVo.getBrandName()+";");
//					replace = replaceQueryString(param, brandVo.getBrandId()+"","brandId");
//				}
//				navVo.setNavValue(buffer.toString());
//				navVo.setLink("http://search.gulimall.com/list.html?"+replace);
//			}
//
//			navs.add(navVo);
//		}

		//TODO 分类：不需要导航取消








		return result;
	}
}
